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https://issues.apache.org/jira/browse/SPARK-8142?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14580719#comment-14580719
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Sean Owen commented on SPARK-8142:
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(FWIW CDH ships the current latest release. You can always run your own build
on CDH when you like as it's just a YARN-based app. You can also use anything
in Spark, like DataFrames, in the provided build. It's not different.)
In this scenario Spark doesn't provide anything Hadoop related; it's just
Spark. Spark uses Hadoop code; CDH is Hadoop. I don't see what the problem
you're expecting?
You can't run your app outside of Spark if it's "provided" since the Spark
deployment model is to run an app using spark-submit. Yes I can see why your
test-scope dependencies would be, well, test scope and not provided for Spark,
since you want to run everything in one JVM. That's easy though.
> Spark Job Fails with ResultTask ClassCastException
> --------------------------------------------------
>
> Key: SPARK-8142
> URL: https://issues.apache.org/jira/browse/SPARK-8142
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
> Affects Versions: 1.3.1
> Reporter: Dev Lakhani
>
> When running a Spark Job, I get no failures in the application code
> whatsoever but a weird ResultTask Class exception. In my job, I create a RDD
> from HBase and for each partition do a REST call on an API, using a REST
> client. This has worked in IntelliJ but when I deploy to a cluster using
> spark-submit.sh I get :
> org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in
> stage 0.0 failed 4 times, most recent failure: Lost task 0.3 in stage 0.0
> (TID 3, host): java.lang.ClassCastException:
> org.apache.spark.scheduler.ResultTask cannot be cast to
> org.apache.spark.scheduler.Task
> at
> org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:185)
> at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
> at java.lang.Thread.run(Thread.java:745)
> These are the configs I set to override the spark classpath because I want to
> use my own glassfish jersey version:
>
> sparkConf.set("spark.driver.userClassPathFirst","true");
> sparkConf.set("spark.executor.userClassPathFirst","true");
> I see no other warnings or errors in any of the logs.
> Unfortunately I cannot post my code, but please ask me questions that will
> help debug the issue. Using spark 1.3.1 hadoop 2.6.
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